More Efficient Identifiability Verification in ODE Models by Reducing Non-Identifiability
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Abstract (arXiv)
Structural global parameter identifiability indicates whether one can determine a parameter's value from given inputs and outputs in the absence of noise. If a given model has parameters for which there may be infinitely many values, such parameters are called non-identifiable. We present a procedure for accelerating a global identifiability query by eliminating algebraically independent non-identifiable parameters. Our proposed approach significantly improves performance across different computer algebra frameworks.
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References · 6
- 2021Differential elimination for dynamical models via projections with applications to structural identifiabilitycited by 5
- 2018Global Identifiability of Differential Modelscited by 3
- 2018SIAN: software for structural identifiability analysis of ODE modelscited by 3
- 2021Web-based Structural Identifiability Analyzercited by 3
- 2020Computing all identifiable functions of parameters for ODE modelscited by 2
- 2020Multi-experiment parameter identifiability of ODEs and model theorycited by 1
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